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Variable-length template protection based on homomorphic encryption with application to signature biometrics.

, , and . IWBF, page 1-6. IEEE, (2016)

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Performance of fingerprint quality measures depending on sensor technology., , , , , and . J. Electronic Imaging, 17 (1): 011008 (2008)Guest editorial: Recent advances in representation learning for robust biometric recognition systems., , , , and . IET Biom., 11 (6): 531-533 (November 2022)Symbolic AI for XAI: Evaluating LFIT Inductive Programming for Explaining Biases in Machine Learning., , , , , , and . Comput., 10 (11): 154 (2021)Sensitive loss: Improving accuracy and fairness of face representations with discrimination-aware deep learning., , , and . Artif. Intell., (2022)Fingerprint Liveness Detection Based on Quality Measures., , , and . CoRR, (2022)Mobile signature verification: feature robustness and performance comparison., , , and . IET Biom., 3 (4): 267-277 (2014)Variable-length template protection based on homomorphic encryption with application to signature biometrics., , and . IWBF, page 1-6. IEEE, (2016)mEBAL: A Multimodal Database for Eye Blink Detection and Attention Level Estimation., , , and . ICMI Companion, page 32-36. ACM, (2020)Are Adaptive Face Recognition Systems still Necessary? Experiments on the APE Dataset., , , and . IPAS, page 77-82. IEEE, (2020)Algorithmic Discrimination: Formulation and Exploration in Deep Learning-based Face Biometrics., , , , , and . SafeAI@AAAI, volume 2560 of CEUR Workshop Proceedings, page 146-152. CEUR-WS.org, (2020)